Robust Image Watermarking Method in Wavelet Domain Based on SIFT Features

To protect the ownership of the digital content, the robustness of the watermarking algorithm is the most important metric to assess its affectiveness. However few state-of-the-art watermarking algorithms can resist the combinations of the conventional attacks such as jpeg compression and geometric transformation. In this paper, an improved robust image watermarking algorithm is thus proposed to address this issue. The watermark information is embedded in the low frequency domain of the wavelet transform by a quantization modulation method. When using watermark detection, use matching the position information of the SIFT key points is used to calculate the affine transformation parameters and the edge point parameters, and then inversely transform and reposition the detected image to recover the watermark synchronization information. Theoretical analysis and experimental results show that the proposed algorithm has high correlation accuracy and stable performance, and can effectively recover the watermark synchronization of watermark images subjected to rotation, scaling and translation attacks, so that the watermark algorithm can correctly detect or extract watermarks.